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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. MiniMax M2MiniMaxRemove
  2. Claude Sonnet 5.5AnthropicRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. GPT-6.1 SolOpenAIRemove

4 is the maximum. Remove one to add another.

minimax-m2 vs claude-sonnet-5.5 vs perceptron-mk1.5 vs gpt-6.1-sol
AttributeMiniMax M2minimax-m2Claude Sonnet 5.5claude-sonnet-5.5Perceptron Mk1.5perceptron-mk1.5GPT-6.1 Solgpt-6.1-sol
Pricing
Input$0.15 / 1M$2.00 / 1M$0.15 / 1M$2.00 / 1M
Output$0.45 / 1M$10.00 / 1M$1.50 / 1M$10.00 / 1M
Cache Write (5m)$0.15 / 1M$2.50 / 1M$0.15 / 1M$2.00 / 1M
Cache Write (1h)$0.15 / 1M$4.00 / 1M$0.15 / 1M$2.00 / 1M
Cache Read$0.15 / 1M$0.20 / 1M$0.15 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context196.6K1M36.9K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesYesYes
Catalogue
ProviderMiniMaxAnthropicPerceptronOpenAI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-25—
Description
SummaryMiniMax-M2 is a compact, high-efficiency model with 10B active (230B total) parameters, optimized for coding and agentic workflows. It delivers near-frontier reasoning and tool use, excels at multi-file coding tasks and compile-run-fix loops, and performs strongly on benchmarks like SWE-Bench and Terminal-Bench. It also handles long-horizon planning and recovery in agent evaluations, ranking among the top open models across reasoning domains. With fast inference and low cost, it’s ideal for large-scale agents and developer assistants — and works best when reasoning is preserved across turns.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.